Yilmazkuday Hakan
Department of Economics Florida International University Miami Florida USA.
J Reg Sci. 2021 Sep;61(4):826-848. doi: 10.1111/jors.12540. Epub 2021 Jun 7.
Using daily US county-level data on consumption, employment, mobility, and the coronavirus disease 2019 (COVID-19) cases, this paper investigates the welfare costs of COVID-19. The investigation is achieved by using implications of a model, where there is a trade-off between consumption and COVID-19 cases that are both determined by the optimal mobility decision of individuals. The empirical results show evidence for about 11% of an average (across days) reduction of welfare during the sample period between February and December 2020 for the average county. There is also evidence for heterogeneous welfare costs across US counties and days, where certain counties have experienced welfare reductions up to on average across days and up to in late March 2020 that are further connected to the socioeconomic characteristics of the US counties.
本文利用美国县级每日消费、就业、流动性和2019冠状病毒病(COVID-19)病例数据,研究了COVID-19的福利成本。该研究通过运用一个模型的推论来实现,在该模型中,消费与COVID-19病例之间存在权衡取舍,二者均由个人的最优流动性决策决定。实证结果表明,在2020年2月至12月的样本期内,平均每个县的福利平均(跨日)下降了约11%。美国各县和各日的福利成本也存在异质性,某些县在各日平均福利下降高达[具体数值未给出],在2020年3月下旬高达[具体数值未给出],这进一步与美国各县的社会经济特征相关。